Investigating the Impact of Economic Uncertainty on Optimal Sizing of Grid-Independent Hybrid Renewable Energy Systems

Rezaei, Mostafa; Dampage, Udaya; Das, Barun; Nasif, Omaima; Borowski, Piotr F.; Mohamed, Mohamed A.

doi:10.3390/pr9081468

Cited by 60 publications

(28 citation statements)

References 104 publications

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“…Therefore, the consumers should be encouraged to learn about the demand flexibility in their use of electricity and how to benefit from this flexibility. This might be especially relevant for the customers with inertial processes (such as cleaning, washing, or cooking dinners) independent of the time of the day and the peaks in electricity consumption who can easily shift their periods of high consumption to the periods of low electricity cost without disrupting their daily routines and reaching continuous optimization [81][82][83].…”

Section: Impacts Of Digital Technologies On Energy Consumptionmentioning

confidence: 99%

Impacts of Digital Technologies for the Provision of Energy Market Services on the Safety of Residents and Consumers

2022

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Our paper tackles the topic of the digital technologies (represented by the information and communication technologies (ICT)) and the sustainable transformation and energy safety in households represented by the smart homes and the traditional households using smart appliances, gadgets, as well as smart meters connected to the Internet. The rapid growth and adoption of information and communication technologies, such as computers, mobile devices, sensors, and networks, can seriously affect the ways and amounts of energy used by society on its path toward sustainable development. There is a growing interest in characterizing the net energy impact of ICT as well as the Internet of Things (IoT) that arises from indirect effects that offset (or amplify) the energy directly consumed by ICT equipment. However, the society might need some time to build the trust in these new digital technologies and develop the wide social acceptance for their usage. In order to test these assumptions, we employ an empirical econometric model based on the data obtained from the online survey carried out with the randomly selected respondents (N = 523) from Russian Federation and the four European Union (EU) countries (Czech Republic, Germany, Poland, and Slovakia). Even with regard to the small size of the sample and thence the limitations stemming from that fact, our results demonstrate that familiarity with smart home technologies and the possibility to alter the tariffs and use flexible energy demand increase the safety of residents and consumers. In addition, it appears that energy efficiency is being rewarded, as energy consumption is sensitive to time constraints on supply. Furthermore, we find that respondents’ age (43% of the respondents belonged to the 36–55 age group), positive attitude to smart home technologies and the possibility to exploit the flexibility of demand offered by the variety of energy tariffs during and off-peaks all yield quite strong and positive relationships and correlations with the willingness to accept the smart home technology and the flexibility of demand. At the same time, concerns over personal security or sharing personal data related to energy consumption do not constitute major concerns for the respondents. Our results have some important impacts on the overall strategy for pursuing sustainable economic development and following the Sustainable Development Goals (SDGs) that might be useful for stakeholders and policymakers as well as for the researchers in this field.

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Section: Impacts Of Digital Technologies On Energy Consumptionmentioning

confidence: 99%

Impacts of Digital Technologies for the Provision of Energy Market Services on the Safety of Residents and Consumers

2022

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“…Overall reaction: A single PEM fuel cell voltage V FC is the sum of four terms: the no-load voltage E Ner , the activation overvoltage V act (or activation drop), the ohmic overvoltage V ohm (or ohmic drop) and the overvoltage concentration V con (or drop in concentration), which are defined by the following expression [28]:…”

Section: Pem Fuel Cell Modelingmentioning

confidence: 99%

Fractional Order PID Design for a Proton Exchange Membrane Fuel Cell System Using an Extended Grey Wolf Optimizer

et al. 2022

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This paper presents a comparison of optimizers for tuning a fractional-order proportional-integral-derivative (FOPID) and proportional-integral-derivative (PID) controllers, which were applied to a DC/DC boost converter. Grey wolf optimizer (GWO) and extended grey wolf optimizer (EGWO) have been chosen to achieve suitable parameters. This strategy aims to improve and optimize a proton exchange membrane fuel cell (PEMFC) output power quality through its link with the boost converter. The model and controllers have been implemented in a MATLAB/SIMULINK environment. This study has been conducted to compare the effectiveness of the proposed controllers in the transient, accuracy in tracking the reference current, steady-state, dynamic responses, overshoots, and response time. Results showed that the combination EGWO-FOPID had significant advantages over the rest of the optimized controllers.

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“…It is vital to provide a precise analysis of the noteworthy impacts of the random variables on the power grid performance [46][47][48][49][50]. This part tries to represent the modeling of the uncertainty impacts related to the renewable resource and loads with the use of the UT method.…”

Section: Uncertainty Modelingmentioning

confidence: 99%

A Multi-Layer Security Scheme for Mitigating Smart Grid Vulnerability against Faults and Cyber-Attacks

et al. 2021

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To comply with electric power grid automation strategies, new cyber-security protocols and protection are required. What we now experience is a new type of protection against new disturbances namely cyber-attacks. In the same vein, the impact of disturbances arising from faults or cyber-attacks should be surveyed by network vulnerability criteria alone. It is clear that the diagnosis of vulnerable points protects the power grid against disturbances that would inhibit outages such as blackouts. So, the first step is determining the network vulnerable points, and then proposing a support method to deal with these outages. This research proposes a comprehensive approach to deal with outages by determining network vulnerable points due to physical faults and cyber-attacks. The first point, the network vulnerable points against network faults are covered by microgrids. As the second one, a new cyber-security protocol named multi-layer security is proposed in order to prevent targeted cyber-attacks. The first layer is a cyber-security-based blockchain method that plays a general role. The second layer is a cyber-security-based reinforcement-learning method, which supports the vulnerable points by monitoring data. On the other hand, the trend of solving problems becomes routine when no ambiguity arises in different sections of the smart grid, while it is far from a big network’s realities. Hence, the impact of uncertainty parameters on the proposed framework needs to be considered. Accordingly, the unscented transform method is modeled in this research. The simulation results illustrate that applying such a comprehensive approach can greatly pull down the probability of blackouts.

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Investigating the Impact of Economic Uncertainty on Optimal Sizing of Grid-Independent Hybrid Renewable Energy Systems

Cited by 60 publications

References 104 publications

Impacts of Digital Technologies for the Provision of Energy Market Services on the Safety of Residents and Consumers

Impacts of Digital Technologies for the Provision of Energy Market Services on the Safety of Residents and Consumers

Fractional Order PID Design for a Proton Exchange Membrane Fuel Cell System Using an Extended Grey Wolf Optimizer

A Multi-Layer Security Scheme for Mitigating Smart Grid Vulnerability against Faults and Cyber-Attacks

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